AI Solutions Architect

PRESHai • Tampa, FL

3d • $125,000 - $175,000 • Hybrid

About The Position

Presh Marketing Solutions is a profitable, growing marketing agency with expertise in IT channel marketing and long-term relationships with Fortune 500 technology companies. The company is transforming from a traditional agency into an AI-powered solutions provider. This role joins at the ground floor of that AI transformation and helps shape the future of channel partner marketing.

The AI Solutions Architect owns the technical design and architecture of AI agent solutions for enterprise IT channel partners. The role creates blueprints for production-ready agentic AI solutions integrated with modern business systems, and develops reusable architectural patterns and reference frameworks for scalable deployment across hundreds of channel partner environments. The focus is solution design and technical strategy; development partners handle day-to-day coding.

The architect works with development resources, client IT teams, the CEO, and the Account Strategy team to translate business and marketing requirements into technical specifications, guide implementation, deliver MVPs, and communicate the value of solutions to stakeholders. The position reports directly to the CEO.

Requirements

• 3–5 years of experience in solution architecture designing enterprise systems.
• 2–3 years of experience designing AI/ML solutions, with understanding of implementation; hands-on coding is not required.
• Proven ability to create technical specifications that development teams successfully implement.
• Experience managing or guiding technical teams, vendors, or offshore development resources.
• Exceptional written and verbal communication skills for technical and non-technical audiences.
• Demonstrated ability to translate business requirements into technical architectures.
• Deep knowledge of modern AI/ML capabilities and limitations, including LLMs, RAG, and agent frameworks.
• Understanding of enterprise integration patterns and API architectures.
• Knowledge of security, compliance, and data privacy requirements for enterprise deployments.
• Knowledge of cloud architecture principles and best practices across AWS, Azure, or GCP.
• Familiarity with marketing technology ecosystems, including CRM, marketing automation, and analytics platforms.
• B2B enterprise software experience and understanding of enterprise buying cycles.
• Knowledge of business process automation and workflow optimization.
• Understanding of SaaS architectures and deployment models.

Nice To Haves

• Background in consulting, systems integration, or solution engineering.
• Experience with IT channel, distribution, or partner ecosystems.
• Marketing technology or MarTech industry experience.
• Cloud architecture certifications at the solutions architect level.
• Previous experience scaling startups or leading digital transformation initiatives.
• Some coding background in Python or JavaScript for technical credibility.

Responsibilities

• Design production-ready AI agent architectures for enterprise channel marketing automation, including MDF optimization, partner enablement, and co-marketing workflows.
• Architect secure, scalable solutions integrating with marketing and business platforms such as HubSpot, Salesforce, Microsoft Dynamics, and other enterprise systems.
• Develop technical specifications for autonomous AI agents supporting content generation, campaign optimization, partner performance analytics, and automated lead routing.
• Create architectural blueprints and reference designs for rapid deployment across enterprise clients while maintaining security and compliance standards.
• Design AI workflow integrations with business applications and provide detailed technical requirements to development teams.
• Architect data pipeline strategies to synchronize partner data, marketing performance metrics, and business intelligence across systems.
• Define enterprise-grade security, authentication, and compliance requirements, including SOC2 and GDPR, and oversee implementation.
• Lead technical discovery and architecture discussions with client IT teams, translating marketing requirements into actionable technical specifications.
• Coordinate development resources to orchestrate MVP deployments within 30–60 days and demonstrate immediate ROI.
• Design AI-powered proofs of concept addressing channel marketing needs such as partner recruitment, enablement, and performance tracking.
• Specify monitoring and optimization requirements for AI agent performance, ROI metrics, and system health.
• Define testing strategies and acceptance criteria to ensure consistent, accurate marketing outputs.
• Document architectural decisions, solution designs, and integration specifications for development teams.
• Collaborate with the CEO and Account Strategy team to translate channel marketing expertise into technical architectures.
• Present technical solutions to business stakeholders, demonstrating ROI and competitive advantage.
• Guide internal and external development teams and mentor staff on AI best practices and architectural patterns.

Benefits

• Medical, dental, and vision coverage.
• 401(k).
• Unlimited PTO.
• Professional development budget.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed